Call for Chapters: Generative AI in Teaching and Learning


Shalin Hai-Jew, Kansas State University, United States

Call for Chapters

Proposals Submission Deadline: July 17, 2023
Full Chapters Due: September 14, 2023


Generative AI has emerged in the public space as a formidable and cutting-edge socio-technical tool. It enables the auto-generating of text, code, images, video, music, multimedia, and other content based on prompts (textual, visual, and others). Various generative and other AI tools are emerging and being integrated into search, into intelligence, into industry, and other applications. How generative AI is used in education—in formal pre-school to higher education, in informal and nonformal teaching and learning, in trainings—is hotly contested. What are the professional ethics of usage? What disclosure is needed? Where can generative AI be harnessed to benefit humanity? What immense opportunities are there to be found and harnessed?


Exploring early approaches in terms of how generative AI is used in teaching Exploring early approaches in terms of how generative AI is used in learning Broadening the ways that people use generative AI… Broadening the ways that the makers of generative AI deploy their technologies constructively…

Target Audience

The target audiences may be teachers, researchers, instructional designers, developers, data analysts, programmers, learners, and others.

Recommended Topics

Generative AI applications in art-making, coding, writing, editing, research, prompts, collaboration, and others
Public generative AI
Public generative AI interfaces
Generative AI in formal (accredited) education

• Teaching and learning
• Content creation
• Instructional design
• Librarian work
• Research
• Community service
• Sports
• Policies and practices
• Assignments
• Grading
• Student work
• Programming

Generative AI in nonformal (non-accredited) teaching and learning
Generative AI in informal (from-life) teaching and learning
Generative AI in trainings
Generative AI in autodidaxy (self-learning)
Generative AI in group learning (socio-constructivism, and others)
Social change in teaching and learning from AI
Professional ethics in the application of generative AI

Engaging in learning practice in with generative AI

Private generative AI

Risks to demotivation for skills acquisition, deskilling, downskilling? Opportunities for upskilling?

Submission Procedure

Researchers and practitioners are invited to submit on or before July 17, 2023, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by August 18, 2023 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by September 14, 2023, and all interested authors must consult the guidelines for manuscript submissions at prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Generative AI in Teaching and Learning. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.


This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit This publication is anticipated to be released in 2024.

Important Dates

July 17, 2023: Proposal Submission Deadline
August 18, 2023: Notification of Acceptance
September 14, 2023: Full Chapter Submission
November 12, 2023: Review Results Returned
December 24, 2023: Final Acceptance Notification
January 7, 2024: Final Chapter Submission


Dr. Shalin Hai-Jew
Kansas State University


Business and Management; Computer Science and Information Technology; Education; Media and Communications; Social Sciences and Humanities
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